Walrus 🦭/acc Re-poster

Picture the year 2028. By then, autonomous AI agents are tasked with governing protocols, finalizing trades, and overseeing portfolios. The reliability of every move they make rests on data that is programmable, verifiable, and fast. As you consider the most essential component of this technological stack, the answer is likely already clear to you. 🦭

👀 Here is a quick challenge to test your knowledge. Can you identify the specific connection shared by AI agents, decentralized apps, and onchain finance? 🦭

If you missed the recent announcement, please note that Walrus is now utilized as the default storage layer for elizaOS v2. Consequently, every AI agent is equipped with verifiable, persistent memory starting immediately. This allows your agent to establish decentralized proof of the exact time and location where data is kept, while also enabling the sharing of artifacts throughout swarms and the retention of context across different sessions. This is the power of Walrus × @elizaOS 🦭

Take a moment to consider the risks associated with autonomous agents handling financial decisions based on data that cannot be validated. Walrus addresses this by ensuring that models, datasets, and content are verifiable by default. This capability allows builders to protect their AI platforms from the dangers of regulatory non-compliance, the generation of inaccurate responses, and the erosion of user trust. 🦭

In 2020, the consensus was that blockchain needs better data infra. This observation remained still true throughout 2023. However, 2026 marks a turning point where the modern data layer is finally here 🦭.

We have a fresh concept for swag: sticky notes designed in the shape of a walrus 🦭. Is this something you would be interested in having?

Think of Walrus as the library facility instead of the books it contains. Applications behave like books, appearing and disappearing as trends evolve. The library, however, remains permanent 🦭

Make the most of the long weekend by getting out into nature. Walrus continues to operate around the clock, keeping your data secure onchain while you disconnect. 🦭

Amidst the noise of countless narratives and an overload of dashboards, there is really only one inquiry that matters. Do the systems of tomorrow require data that is fast, verifiable, and programmable? If you believe the answer is yes, then Walrus is what you need 🦭

When searching for the ideal crypto ecosystem, discovering impressive technology is often the easy part. The real challenge lies in identifying that innovation at the perfect moment, backed by creators who consistently deliver results. Walrus meets every one of these demands. Developed by the experts behind Sui, it addresses critical data layer obstacles essential for both onchain finance and AI. Furthermore, the platform boasts a developer base that is already releasing live solutions. All expectations have been met 🦭

Happy Valentine's Day from Walrus 💖. We truly love verifiable data and programmable storage, but our hearts belong to you (yes, you, builder).

Experiencing a centralized database outage during a crucial product release is a nightmare scenario for many. However, builders utilizing Walrus enjoy a stress-free experience and cannot sympathize with such downtime issues. 🦭

Walrus sends its warmest wishes to you this Valentine's Day 💖🦭. We want to express our gratitude to the infrastructure nerds who understand the vision, along with the builders and our entire community. Thank you for joining us on this journey.

For a DeFi project, missing historical data is a major threat rather than a small inconvenience. It can lead to severe regulatory, financial, and operational crises, bringing about lawsuits, damaged reputations, and high remediation costs.

You require accurate records whenever oracle inputs are questioned, liquidations are disputed, or governance decisions undergo audits months later.

The Sui Archival System organizes blockchain history on Walrus, securing critical data in a way that is durable, independently verifiable, and publicly accessible.

Ensure that your approach to record-keeping does not pose a risk to your project.

🔗

The right challenge to address isn't always the most vocal one. Walrus is the answer for high-stakes AI and financial systems that depend on programmable and verifiable data 🦭

The broadcast is happening now! 🔥

We are exploring the importance of validated datasets, verifiable data, and decentralized AI training.

@DTDaun is currently explaining how Walrus empowers AI infrastructure in partnership with @flock_io and @inflectivAI.

You are invited to join the conversation here 👇

The broadcast begins in just 1 hour! 🦭

For Artificial Intelligence to thrive, it requires scalable data infrastructure, decentralized training methods, and verifiable datasets. Walrus acts as the foundational data layer that turns these requirements into reality.

Join @flock_io and @inflectivAI as they go live at 9:00 a.m. PT / 5:00 p.m. GMT.

Let us know you are attending by posting a 🦭 below.

⚽️ Just a friendly note to remember that @OneFootball has chosen Walrus to house their comprehensive library of football content. This platform boasts impressive backing from top-tier organizations, specifically Real Madrid, FC Barcelona, Bayern Munich, Liverpool, Arsenal, Chelsea, Manchester City, Juventus, and PSG. Their reach is massive, featuring partnerships with 200+ clubs, leagues, and federations spanning 194 markets while delivering content to a user base of 200M+ monthly users. This serves as a prime example of enterprise-grade data infrastructure achieving genuine scalability. 🦭

Greetings, developers.

We are just 6 hours away from discussing the creation of AI systems utilizing verifiable, high-quality data. This session will highlight how @flock_io leverages Walrus for the purpose of decentralized AI training. Additionally, we will examine how @inflectivAI manages the structuring and validation of datasets on the Walrus platform. The event is scheduled for 9:00 a.m. PT / 5:00 p.m. GMT. We invite you to participate via the link below.